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Complex threat detection: Learning vs. rules, using a hierarchy of features | IEEE Conference Publication | IEEE Xplore

Complex threat detection: Learning vs. rules, using a hierarchy of features


Abstract:

Theft of cargo from a truck or attacks against the driver are threats hindering the day to day operations of trucking companies. In this work we consider a system, which ...Show More

Abstract:

Theft of cargo from a truck or attacks against the driver are threats hindering the day to day operations of trucking companies. In this work we consider a system, which is using surveillance cameras mounted on the truck to provide an early warning for such evolving threats. Low-level processing involves tracking people and calculating motion features. Intermediate-level processing provides kinematics and localisation, activity descriptions and threat stage estimates. At the high level, we compare threat detection performed with a statistical trained SVM based classifier against a rule based system. Results are promising, and show that the best system depends on the scenario.
Date of Conference: 26-29 August 2014
Date Added to IEEE Xplore: 09 October 2014
Electronic ISBN:978-1-4799-4871-0
Conference Location: Seoul, Korea (South)

References

References is not available for this document.